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Guimarães, Portugal

Goncalves N.,Randnter Algoritmi | Carvalho V.,Randnter Algoritmi | Vasconcelos R.M.,DNV GL | Soares F.O.,Randnter Algoritmi | Machado J.,ts Research Center
Measurement: Journal of the International Measurement Confederation

The aim of this paper is the development of a new technological solution, for the automatic characterization of the yarn mass parameters (linear mass, diameter, and hairiness) based on image processing and computer vision techniques. A preliminary study for the detection and distinction between loop and protruding fibers is also presented. A custom-made application developed in LabVIEW from National Instruments with the IMAQ Vision Toolkit was used to acquire, analyze and process the yarn images. Some experimental results using cotton and polyester yarns were performed and compared with a commercial solution for validation. The presented approach allows a correct yarn parameterization improving products' quality in the textile industry. © 2015 Elsevier Ltd. All rights reserved. Source

Santos D.,ts Research Center | Machado J.,ts Research Center | Varela M.L.,Research Center
Romanian Review Precision Mechanics, Optics and Mechatronics

In this work a mechanism for detection of stairs and stop wheelchairs was studied to avoid the approach of the wheelchair to the stairs or other dangerous places previously defined. The main purpose was allow to the people with mental disease, in manual wheelchairs, more liberty, without being dependent on a standing care of another person to avoid accidents. The brake system is composed by rim brakes, similar with that ones in bicycles, which are automatically activated by a sensor projected to detect dangerous places surrounded by a red line. This sensor start the solenoid movement reducing the speed of a wheelchair until its complete immobilization. The conceptual system is capable to stop a standard manual wheelchair until 3.26 seconds, with a braking distance of 1.09 meters. © 2015, Editura Cefin. All rights reserved. Source

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